In lieu of an abstract, here is a brief excerpt of the content:Creating a Learning Space That Is Virtual and ExperientialBette E. Schneiderman (bio)The final product of the Rembrandt Project will be a Web site that is intended primarily for use by middle and high school teachers and their students. It is a celebration of Rembrandt’s work in the contexts of his time, place, and culture and all that may emanate from them. A special feature of the site (...) is the integration of art, aesthetic, and social studies education. Other articles in this issue address the rich content of the project’s work, that is, the artworks themselves, their contextual grounding, and the development of skills that maximize learning. This article looks at the creation of a learning space as a home for the development of the project. It explores issues related to learning spaces and features some of the technologies that can be used within them.The Rembrandt Project will not be a Web site that merely flattens images on a computer screen or conveys facts about Rembrandt and his oeuvre. Rather, it is a portal to a learning place with online features and opportunities for learners to have transformative experiences. Learning may occur online in electronic conversations, in opportunities to view and respond to reproductions in collections that cannot be visited in person, and in the creation and display of learners’ products. Learning is facilitated by access to a range of resources and people. Numerous announcements of activities, events, and products will be posted on the site. Some individuals will work in the space of the works themselves while others might undertake learning activities in museums, galleries, and private homes. In some cases special programs will highlight certain works and relate them to the project. Images of places in the Netherlands will also be presented with accompanying learning opportunities for those who may wish to see the paintings in person or simply ponder their influence from afar. All participants will be encouraged to share creations and reflections on the site. [End Page 38]To provide a sense of what this article is about, three cases are presented, each with two scenarios and a sample online discussion. The purpose of these cases is to draw readers into the experience of a virtual learning space before discussing contemporary learning communities, learning spaces, and technologies. The cases will show how to develop lively democratic conversation that makes communal learning possible. Participants can be of all kinds, from experts to those who simply want to learn. They can be located anywhere and participate at whatever time suits them best.Case A: Two ScenariosScenario 1: Viewing a Masterwork by RembrandtStanding before a work by Rembrandt you are drawn into its space. If you have viewed a Rembrandt in the past, recall your experience. If not, perhaps you might want to travel to a place that has one of his works or access some of his images online.1 Or you might think about a work of art that aroused your interest and prompted you to ponder its import and ask questions. Perhaps you returned to the work many times, experiencing it more deeply and differently upon each visit. What is it, specifically, about the encounter that resulted in a satisfying experience? And what changed the moment you viewed the work in a book reproduction, a slide, or a digitized image on a computer? In pursuing its purposes, the Rembrandt Project explores ways multiple skills can help maximize the experience of a wide range of works both online and off. Case A, Scenario 1, will set the stage for an experience with the work itself.Scenario 2: Viewing a Masterwork OnlineSelect a major work by Rembrandt online.2 What makes experiencing this image worthwhile, despite the fact that certain aspects cannot be captured in this flat digitized space? Upon reflecting on these scenarios, thoughts about experiencing the work may be recorded and discussed with others.3Case B: Two ScenariosScenario 1: An Experience of a LandscapeImagine wandering through an open field, tingled by a gentle breeze, warmed by the sun, refreshed by the aromas of moist grasses, mixed flowers, and the woody smells of trees. A village, visible... (shrink)

The article explores the way gamification transforms the informal learning space of the higher education institutions inspired by information technologies and the all-consuming digitalization of human society. An overview is presented of the existing ideas about gamification in the context of the digital transformation of higher education. It is established that the effective use of gamification as a learning technique in the context of digital transformation of higher education contributes to the implementation of its core principles. We (...) have attempted to analyze the factors that gave rise to gamification as well as to examine the ways to introduce gamification to the informal learning experience. The components of this technology are singled out along with the principles of its functioning. In the process, we reveal the role of gamification and opportunities that open up for the organization of educational activities in the informal space of higher education. The given work identifies peculiarities and advantages of this digital form of education as well as risks associated with its introduction in the informal learning space of higher education. The authors elaborate on the specifics of the development of informal learning space in the context of global gamification, as well as the technological and semantic modernization of higher education. It is established that the main purpose of gamification is to boost the internal motivation of higher education students to study and to reveal their creative and professional abilities. (shrink)

This article intends to unpack how art education motivates students for a creative educational practice in immersive learning, following the author’s research using books to explore The Book Experience as a Place of Epistemological Reflection in Art Education. Questions as to how book making can be understood as a tool for teaching and learning, as a mediator and as a collaborative piece of producing knowledge, were raised during the process of making collective books, along with reflection on author’s (...) articles. Feedbacks reveal a firm evidence of learning through studio practice based pedagogies as spaces of learning. (shrink)

The broad aim of this paper is to track the evolution of adult literacy policy in the UK across three decades, highlighting convergences between policy phases and the promotion of democratic learning spaces. It is anchored onto the argument that, although it is generally accepted that democratic learning spaces are perceived as beneficial to adult literacy learners, policy has often deterred its promotion and, therefore, implementation. The paper identifies three block phases of adult literacy development: the seventies to (...) mid-eighties, the mid-eighties to mid-nineties and the mid-nineties to the Moser Committees. The features of each of these phases are highlighted to map out convergences and divergences to the ethos of democratic learning spaces. The paper argues that, with the evolution of policy in adult literacy, the ethos of democratic learning space continuously diminished, such that as policy evolved year on year, the principle of democratic learning space found itself at counterpoint to policy. We draw on two theoretical frameworks, the NLS view of literacy and Bourdieu’s capital framework to explain these divergences and conclude that the dominant perception of literacy and the prioritised capital in the context of policy appear to limit the vestiges of democratic learning spaces. Keywords: Adult literacy, policy, democratic learning spaces, cultural dissonance, human capital, social capital. (shrink)

Este artigo propõe-se a discutir a possibilidade de utilizar as tecnologias digitais online e as redes sociais como espaço de aprendizagem digital de uma maneira que favoreça a aprendizagem cooperativa entre os estudantes, alicerçado na Epistemologia Genética de Jean Piaget. Este estudo foi baseado em uma pesquisa-ação, nas aulas de Matemática, realizada com estudantes do ensino médio integrado em informática do IFRS – Campus Osório (RS), em 2011 e 2012-1. Os estudantes demonstraram apropriação deste espaço de aprendizagem digital, como o (...) Facebook, e apontaram que este potencializa a aprendizagem cooperativa no que tange à disciplina de Matemática, por ações colaborativas com a professora. (shrink)

Today, more people want to know how to make a meaningful difference to what they care about. But for that, traditional approaches to learning often fall short. In this book, we offer a theoretical and practical way forward. We introduce the concept of social learning spaces for developing both new capabilities and a sense of agency. We provide a rich framework for focusing on the value of social learning spaces: how to generate this value, monitor it, and (...) learn iteratively through the process. The book is a useful extension and refinement of 'communities of practice' for those familiar with the theory. For those who are not, the chapters will lay out a new way to approach learning. This volume is written to serve the needs of readers across fields, including researchers, educators, and leaders in business, government, healthcare, and international development. (shrink)

Multiuser fair sharing of clusters is a classic problem in cluster construction. However, the cluster computing system for hybrid big data applications has the characteristics of heterogeneous requirements, which makes more and more cluster resource managers support fine-grained multidimensional learning resource management. In this context, it is oriented to multiusers of multidimensional learning resources. Shared clusters have become a new topic. A single consideration of a fair-shared cluster will result in a huge waste of resources in the context (...) of discrete and dynamic resource allocation. Fairness and efficiency of cluster resource sharing for multidimensional learning resources are equally important. This paper studies big data processing technology and representative systems and analyzes multidimensional analysis and performance optimization technology. This article discusses the importance of discrete multidimensional learning resource allocation optimization in dynamic scenarios. At the same time, in view of the fact that most of the resources of the big data application cluster system are supplied to large jobs that account for a small proportion of job submissions, while the small jobs that account for a large proportion only use the characteristics of a small part of the system’s resources, the expected residual multidimensionality of large-scale work is proposed. The server with the least learning resources is allocated first, and only fair strategies are considered for small assignments. The topic index is distributed and stored on the system to realize the parallel processing of search to improve the efficiency of search processing. The effectiveness of RDIBT is verified through experimental simulation. The results show that RDIBT has higher performance than LSII index technology in index creation speed and search response speed. In addition, RDIBT can also ensure the scalability of the index system. (shrink)

Some regularities enjoy only an attenuated existence in a body of training data. These are regularities whose statistical visibility depends on some systematic recoding of the data. The space of possible recodings is, however, infinitely large – it is the space of applicable Turing machines. As a result, mappings that pivot on such attenuated regularities cannot, in general, be found by brute-force search. The class of problems that present such mappings we call the class of “type-2 problems.” Type-1 (...) problems, by contrast, present tractable problems of search insofar as the relevant regularities can be found by sampling the input data as originally coded. Type-2 problems, we suggest, present neither rare nor pathological cases. They are rife in biologically realistic settings and in domains ranging from simple animat behaviors to language acquisition. Not only are such problems rife – they are standardly solved! This presents a puzzle. How, given the statistical intractability of these type-2 cases, does nature turn the trick? One answer, which we do not pursue, is to suppose that evolution gifts us with exactly the right set of recoding biases so as to reduce specific type-2 problems to type-1 mappings. Such a heavy-duty nativism is no doubt sometimes plausible. But we believe there are other, more general mechanisms also at work. Such mechanisms provide general strategies for managing problems of type-2 complexity. Several such mechanisms are investigated. At the heart of each is a fundamental ploy – namely, the maximal exploitation of states of representation already achieved by prior, simpler learning so as to reduce the amount of subsequent computational search. Such exploitation both characterizes and helps make unitary sense of a diverse range of mechanisms. These include simple incremental learning, modular connectionism, and the developmental hypothesis of “representational redescription”. In addition, the most distinctive features of human cognition – language and culture – may themselves be viewed as adaptations enabling this representation/computation trade-off to be pursued on an even grander scale. (shrink)

In typical statistical learning studies, researchers define sequences in terms of the probability of the next item in the sequence given the current item (or items), and they show that high probability sequences are treated as more familiar than low probability sequences. Existing accounts of these phenomena all assume that participants represent statistical regularities more or less as they are defined by the experimenters—as sequential probabilities of symbols in a string. Here we offer an alternative, or possibly supplementary, hypothesis. (...) Specifically, rather than identifying or labeling individual stimuli discretely in order to predict the next item in a sequence, we need only assume that the participant is able to represent the stimuli as evincing particular similarity relations to one another, with sequences represented as trajectories through this similarity space. We present experiments in which this hypothesis makes sharply different predictions from hypotheses based on the assumption that sequences are learned over discrete, labeled stimuli. We also present a series of simulation models that encode stimuli as positions in a continuous two‐dimensional space, and predict the next location from the current location. Although no model captures all of the data presented here, the results of three critical experiments are more consistent with the view that participants represent trajectories through similarity space rather than sequences of discrete labels under particular conditions. (shrink)

Some regularities enjoy only an attenuated existence in a body of training data. These are regularities whose statistical visibility depends on some systematic recoding of the data. The space of possible recodings is, however, infinitely large type-2 problems. they are standardly solved! This presents a puzzle. How, given the statistical intractability of these type-2 cases, does nature turn the trick? One answer, which we do not pursue, is to suppose that evolution gifts us with exactly the right set of (...) recoding biases so as to reduce specific type-2 problems to (tractable) type-1 mappings. Such a heavy-duty nativism is no doubt sometimes plausible. But we believe there are other, more general mechanisms also at work. Such mechanisms provide general (not task-specific) strategies for managing problems of type-2 complexity. Several such mechanisms are investigated. At the heart of each is a fundamental ploy representational redescription language and culture – may themselves be viewed as adaptations enabling this representation/computation trade-off to be pursued on an even grander scale. (shrink)

An Organisation for Economic Cooperation and Development research priority, innovative learning environments have been translated into policy and practice in 25 countries around the world. In Aotearoa/new Zealand, learning spaces are being reconceptualised in relation to this policy work by school leaders who are confronted by an impetus to lead pedagogic change. The article contributes a conjunctural analysis of the milieu around the redesign of these education facilities. Recognising that bodies and objects entwine in pedagogic spaces, we contribute (...) a new materialism reading of ILEs as these are instantiated in New Zealand. New materialism recognises the agential nature of matter and questions the anthropocentric narrative that frames the post-enlightenment conception of what it means to be human. The decentring of human subjects through a materialist ontology facilitates a consideration of the power of objects to affect the spatial politics of learning environments. The article traces a relationship between the New Zealand strategic plan for Education 2015–2021 and principal conceptions of ILE as the lived spaces of this policy actualisation and the disciplinary/control society conjuncture. Informed by theories of spatial practice, we argue that principals’ understandings of ‘space’ are integral to pedagogic approaches within open-plan spaces. A conjunctural analysis can expand the capacity to act politically. By examining the complex conditions of a political intervention, in this case ILEs, we trace the displacements and condensations of different sorts of contradictions, and thus open up possibilities for action. (shrink)

It is widely appreciated that the difficulty of a particluar computation varies according to how the input data are presented. What is less understood is the effect of this computation/representation tradeoff within familiar learning paradigms. We argue that existing learning algoritms are often poorly equipped to solve problems involving a certain type of important and widespread regularity, which we call 'type-2' regularity. The solution in these cases is to trade achieved representation against computational search. We investigate several ways (...) in which such a trade-off may be pursued including simple incremental learning, modular connectionism, and the developmental hypothesis of 'representational redescription'. In addition, the most distinctive features of human cognition- language and culture- may themselves be viewed as adaptions enabling this representation/computation trade-off to be pursued on an even grander scale. (shrink)

We examined whether variations in contextual diversity, spacing, and retrieval practice influenced how well adults learned new words from reading experience. Eye movements were recorded as adults read novel words embedded in sentences. In the learning phase, unfamiliar words were presented either in the same sentence repeated four times (same context) or in four different sentences (diverse context). Spacing was manipulated by presenting the sentences under distributed or non‐distributed practice. After learning, half of the participants were asked to (...) retrieve the new words, and half had an extra exposure to the new words. Although words experienced in diverse contexts were acquired more slowly during learning, they enjoyed a greater benefit of learning at immediate posttest. Distributed practice also slowed learning, but no benefit was observed at posttest. Although participants who had an extra exposure showed the greatest learning benefit overall, learning also benefited from retrieval opportunity, when words were experienced in diverse contexts. These findings demonstrate that variation in the content and structure of the learning environment impacts on word learning via reading. (shrink)

Learning to solve a class of problems can be characterized as a search through a space of hypotheses about the rules for solving these problems. A series of four experiments studied how different learning conditions affected the search among hypotheses about the solution rule for a simple computational problem. Experiment 1 showed that a problem property such as computational difficulty of the rules biased the search process and so affected learning. Experiment 2 examined the impact of (...) examples as instructional tools and found that their effectiveness was determined by whether they uniquely pointed to the correct rule. Experiment 3 compared verbal directions with examples and found that both could guide search. The final experiment tried to improve learning by using more explicit verbal directions or by adding scaffolding to the example. While both manipulations improved learning, learning still took the form of a search through a hypothesis space of possible rules. We describe a model that embodies two assumptions: the instruction can bias the rules participants hypothesize rather than directly be encoded into a rule; participants do not have memory for past wrong hypotheses and are likely to retry them. These assumptions are realized in a Markov model that fits all the data by estimating two sets of probabilities. First, the learning condition induced one set of Start probabilities of trying various rules. Second, should this first hypothesis prove wrong, the learning condition induced a second set of Choice probabilities of considering various rules. These findings broaden our understanding of effective instruction and provide implications for instructional design. (shrink)

This article reports research in three Nottingham schools, concerned with (1) 'The school as fertile ground: how the ethos of a school enables everyone in it to benefit from the presence of artists in class'; (2) 'Children on the edge: how the arts reach those children who otherwise exclude themselves from class activities, for any reason' and (3) 'Children's voices and choices: how even very young children can learn to express their wishes, and then have them realised through arts projects'. (...) The research methodology was rooted in two modes of inquiry, philosophical investigation and action research. The article draws on this research to argue that arts-based work in school has helped disadvantaged and/or disaffected children to engage in activities (both arts-based and others), and to be able to lay the groundwork for exercising voice and agency as they did so. If social justice is to flourish there is a need for particular kinds of public spaces and a need to create conditions such that children can learn to participate in those spaces, whether or not they are comfortable with the usual settings for 'rational argument' or 'deliberative democracy'. It is suggested that arts-based education, in some forms, is one good way of creating these conditions. (shrink)

This paper considers the piloting of an online learning component of a final-year social work degree ethics module at an inner-city English university. An Action Research approach was used to evaluate this pilot project and the paper illustrates how students were involved in developing and designing the teaching programme as part of the Action Research cycle. The paper explores theoretical aspects of e-learning pedagogy through an analysis of issues emerging during the planning and delivery of this pilot project. (...) The cognitive and affective impact of both face-to-face and electronic learning is discussed. It is suggested that some students may experience e-learning as a safe space for thinking about ethical dilemmas. The challenges for teachers and learners are highlighted and the author argues that in order to support student learning, online teaching needs to be carefully designed and appropriately resourced. (shrink)

In the first year of life, infants' speech perception becomes attuned to the sounds of their native language. This process of early phonetic learning has traditionally been framed as phonetic category acquisition. However, recent studies have hypothesized that the attunement may instead reflect a perceptual space learning process that does not involve categories. In this article, we explore the idea of perceptual space learning by implementing five different perceptual space learning models and testing (...) them on three phonetic contrasts that have been tested in the infant speech perception literature. We reproduce and extend previous results showing that a perceptual space learning model that uses only distributional information about the acoustics of short time slices of speech can account for at least some crosslinguistic differences in infant perception. Moreover, we find that a second perceptual space learning model, which benefits from word‐level guidance. performs equally well in capturing crosslinguistic differences in infant speech perception. These results provide support for the general idea of perceptual space learning as a theory of early phonetic learning but suggest that more fine‐grained data are needed to distinguish between different formal accounts. Finally, we provide testable empirical predictions of the two most promising models and show that these are not identical, making it possible to independently evaluate each model in experiments with infants in future research. (shrink)

: The purpose of this paper and its sister paper (Farrell and Hooker, b) is to present, evaluate and elaborate a proposed new model for the process of scientific development: self-directed anticipative learning (SDAL). The vehicle for its evaluation is a new analysis of a well-known historical episode: the development of ape-language research. In this first paper we outline five prominent features of SDAL that will need to be realized in applying SDAL to science: 1) interactive exploration of possibility (...) space; 2) self-directedness; 3) localization of success and error; 4) Synergistic increase in learning capacity; and 5) continuity of SDAL process across scientific change. In this paper we examine the first three features of SDAL in relation to the early history of ape-language research. We show that this history is readily explicated as a self-directed, ever-finer, delineation of possibility space that enables the localization of both success and error. Paper II examines the last two features against this history. (shrink)

In the exuberance that followed Einstein’s discoveries, philosophers at one time or another have proposed that his theories support virtually every conceivable moral in ontology. I present an opinionated assessment, designed to avoid this overabundance. We learn from Einstein’s theories of novel entanglements of categories once held distinct: space with time; space and time with matter; and space and time with causality. We do not learn that all is relative, that time in the fourth dimension in any (...) non-trivial sense, that coordinate systems and even geometry are conventional or that spacetime should be reduced ontologically to causal, spatio-temporal or other relations. (shrink)

This study investigated visual statistical learning (VSL) in 24 deaf signers and 24 hearing non‐signers. Previous research with hearing individuals suggests that SL mechanisms support literacy. Our first goal was to assess whether VSL was associated with reading ability in deaf individuals, and whether this relation was sustained by a link between VSL and sign language skill. Our second goal was to test the Auditory Scaffolding Hypothesis, which makes the prediction that deaf people should be impaired in sequential processing (...) tasks. For the VSL task, we adopted a modified version of the triplet learning paradigm, with stimuli presented sequentially across space and time. Results revealed that measures of sign language skill (sentence comprehension/repetition) did not correlate with VSL scores, possibly due to the sequential nature of our VSL task. Reading comprehension scores (PIAT‐R) were a significant predictor of VSL accuracy in hearing but not deaf people. This finding might be due to the sequential nature of the VSL task and to a less salient role of the sequential orthography‐to‐phonology mapping in deaf readers compared to hearing readers. The two groups did not differ in VSL scores. However, when reading ability was taken into account, VSL scores were higher for the deaf group than the hearing group. Overall, this evidence is inconsistent with the Auditory Scaffolding Hypothesis, suggesting that humans can develop efficient sequencing abilities even in the absence of sound. (shrink)

Theories of cognitive development must address both the issue of how children bring their knowledge to bear on behavior in‐the‐moment, and how knowledge changes over time. We argue that seeking answers to these questions requires an appreciation of the dynamic nature of the developing system in its full, reciprocal complexity. We illustrate this dynamic complexity with results from two lines of research on early word learning. The first demonstrates how the child's active engagement with objects and people supports referent (...) selection via memories for what objects were previously seen in a cued location. The second set of results highlights changes in the role of novelty and attentional processes in referent selection and retention as children's knowledge of words and objects grows. Together this work suggests that understanding systems for perception, action, attention, and memory, and their complex interaction, is critical to understand word learning. We review recent literature that highlights the complex interactions between these processes in cognitive development and point to critical issues for future work. (shrink)

Theories of cognitive development must address both the issue of how children bring their knowledge to bear on behavior in-the-moment, and how knowledge changes over time. We argue that seeking answers to these questions requires an appreciation of the dynamic nature of the developing system in its full, reciprocal complexity. We illustrate this dynamic complexity with results from two lines of research on early word learning. The first demonstrates how the child's active engagement with objects and people supports referent (...) selection via memories for what objects were previously seen in a cued location. The second set of results highlights changes in the role of novelty and attentional processes in referent selection and retention as children's knowledge of words and objects grows. Together this work suggests that understanding systems for perception, action, attention, and memory, and their complex interaction, is critical to understand word learning. We review recent literature that highlights the complex interactions between these processes in cognitive development and point to critical issues for future work. (shrink)

The experiments proposed in the article by Steels & Belpaeme (S&B) can be considered as a starting point toward a general methodology for the automatic learning of conceptual spaces.